2022
DOI: 10.37936/ecti-eec.2022202.246878
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Radio-Heat Contrasts of UAVs and Their Weather Variability at 12 GHz, 20 GHz, 34 GHz, and 94 GHz Frequencies

Abstract: This work describes the procedure for determining the expected values of UAV radio-heat contrasts () and discusses its angular dependences, as well as the estimation of UAV detection distances at four points cm and mm ranges (12 GHz, 20 GHz, 34 GHz, and 94 GHz). This paper reveals the pronounced frequency dependence on brightness temperature () and  of a fiberglass unmanned aerial vehicle (UAV) made from composite fiberglass materials. The quantified experiments are conducted against a sky background under var… Show more

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Cited by 38 publications
(5 citation statements)
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“…At the same time, naturally, it is necessary to take into account constraints [41] on the vector X desired parameters of a combined shield in the form of vector inequality and, possibly, vector equality…”
Section:  mentioning
confidence: 99%
“…At the same time, naturally, it is necessary to take into account constraints [41] on the vector X desired parameters of a combined shield in the form of vector inequality and, possibly, vector equality…”
Section:  mentioning
confidence: 99%
“…All fundamental results of the theory of automatic control systems are obtained on the basis of mathematical models of controlled processes in the form of systems of ordinary differential equations [29][30][31][32][33]. Analysis and synthesis of control systems for objects, given in the form of systems of differential equations, is a purely mathematical problem based on the structure of solving differential equations in an analytical form, or on numerical integration methods [34][35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%
“…The task of synthesizing a magnetic field control system is usually complicated by significant uncertainties in the mathematical model of the control object [34][35][36][37]. Due to objective circumstances, such as the inaccuracy of the first level model, unmeasured external and internal disturbances, the actual values of the output coordinates will differ from the calculated ones [44][45][46][47].…”
Section: Introductionmentioning
confidence: 99%
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“…When solving this minimax problem numerically, in order to find the direction of movement, it is necessary to use the components of the gradient of the objective function for those variables over which the maximization is performed, and it is necessary to use the components of the antigradient (i.e., the gradient taken with the opposite sign) for those variables over which the minimization is performed [38][39][40][41][42][43].…”
mentioning
confidence: 99%